How to use the pymer4.models.Lm2 function in pymer4

Args:
        model (pymer4.models): an instance of a pymer4 model
        filepath (str): full filepath string ending with .h5 or .hd5f 
    """
    
    if filepath.endswith(".h5") or filepath.endswith('.hdf5'):
        if not os.path.exists(filepath):
            raise IOError("File not found!")
        
        # Load h5 first
        model_atts = dd.io.load(filepath)
        # Figure out what kind of model we're dealing with
        if model_atts['simple_atts']['model_class'] == 'Lmer':
            model = Lmer('', [])
        elif model_atts['simple_atts']['model_class'] == 'Lm2':
            model = Lm2('', [] , '')
        elif model_atts['simple_atts']['model_class'] == 'Lm':
            model = Lm('', [])
        
        # Set top level attributes
        for k, v in model_atts['simple_atts'].items():
            if k != 'model_class':
                setattr(model, k, v)
        # Make sure the model formula is a python string string so that rpy2 doesn't complain
        model.formula = str(model.formula)
        
        # Set data attributes
        # Container for already set items
        completed = []
        for k, v in model_atts['data_atts'].items():
            # Re-assembe dataframes
            if k.startswith('df_'):